models

tfts models

Modules

auto_config	AutoConfig to set up models custom config
auto_model	AutoModel to choose different models
autoformer	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
base	Base class for config and model
bert	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
deep_ar	DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
diffusion	Scalable Diffusion Models with Transformers
dlinear	Are Transformers Effective for Time Series Forecasting?
gpt	Language Models are Few-Shot Learners
informer	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
nbeats	N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
patches_tst	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
pfn	ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
rnn	Long short term memory
rwkv	RWKV: Reinventing RNNs for the Transformer Era
seq2seq	Sequence to Sequence Learning with Neural Networks
tcn	WaveNet: A Generative Model for Raw Audio
tft	Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
tide	Long-term Forecasting with TiDE: Time-series Dense Encoder
timesfm	A decoder-only foundation model for time-series forecasting
transformer	Attention Is All You Need
unet	U-Net: Convolutional Networks for Biomedical Image Segmentation
wavenet